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Title: Blind Estimation of Linear and Nonlinear Sparse Channels, Journal of Telecommunications and Information Technology, 2013, nr 1

Creator:

Georoulakis, Kristina

Date:

2013, nr 1

Resource Type:

artykuł

Description:

This paper presents a Clustering Based Blind Channel Estimator for a special case of sparse channels – the zero pad channels. The proposed algorithm uses an unsupervised clustering technique for the estimation of data clusters. Clusters labelling is performed by a Hidden Markov Model of the observation sequence appropriately modified to exploit channel sparsity. The algorithm achieves a substantial complexity reduction compared to the fully evaluated technique. The proposed algorithm is used in conjunction with a Parallel Trellis Viterbi Algorithm for data detection and simulation results show that the overall scheme exhibits the reduced complexity benefits without performance reduction.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1581

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

sparse zero pad channels clustering techniques blind estimation and equalization

Object collections:

Last modified:

Apr 10, 2014

In our library since:

Apr 10, 2014

Number of object content hits:

72

All available object's versions:

https://bc.itl.waw.pl/publication/1768

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Georoulakis, Kristina, Blind Estimation of Linear and Nonlinear Sparse Channels, Journal of Telecommunications and Information Technology, 2013, nr 1 Apr 10, 2014
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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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